{"repo":"bhavyakeerthi3/-purplle_hackathon","free":true,"listed":false,"github":"https://github.com/bhavyakeerthi3/-purplle_hackathon","clone":"git clone https://github.com/bhavyakeerthi3/-purplle_hackathon.git","description":"AI-powered retail intelligence platform that converts CCTV footage into footfall analytics, heatmaps, queue intelligence, conversion funnels, anomaly detection, and sales insights using YOLOv8, ByteTrack, FastAPI, and Docker.","language":"HTML","stars":31,"topics":["anomaly-detection","business-intelligence","bytetrack","computer-vision","dashboard","docker","fastapi","machine-learning","object-tracking","python"],"license":null,"category":"machine-learning","readme_excerpt":"Purplle Intelligence - Hackathon Submission Repository name: -purplle hackathon Built for the Purplle Tech Challenge 2026 Round 2. Important: raw hackathon videos and large generated media are intentionally not committed. Demo JSON/JSONL analytics are tracked so evaluators can run the API and dashboard immediately. What This Solves Purplle store teams need visibility into what happens between a customer entering a store and completing a purchase. This project converts CCTV footage into structured analytics: - How many visitors entered each store. - Which shelves or zones attracted attention. - Where customers spent the most time. - How crowded each zone became. - How many customers reached billing. - How many customers abandoned the queue. - How sales correlate with store traffic and hourly behavior. - Which operational anomalies require action. Core Features - YOLOv8 person detection. - ByteTrack multi-object tracking. - Polygon-based zone assignment per camera. - Entry, exit, zone enter, zone exit, queue completed, and queue abandoned event generation. - JSONL event log suitable for replay and streaming. - Store-level analytics for 2 stores and 8 cameras. - Dwell time, unique visitor, peak occupancy, and heatmap metrics. - Queue wait-time and abandonment analytics. - Conversion funnel: Store Entry - Zone Browsing - Billing Queue - Purchase. - Demo-mode demographics endpoint for aggregate gender and age buckets. - Sales analytics with POS fallback. - Anomaly detection for hi","default_branch":null,"files":null,"tree":[],"storefront":"/r/bhavyakeerthi3","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/bhavyakeerthi3/-purplle_hackathon/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}